Deployment Engineer

Qubika

New York (NY)

Híbrido

USD 110.000 - 160.000

Jornada completa

Hace 11 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Flexible work hours
Travel opportunities
Language lessons

Descripción de la vacante

Qubika is seeking a Deployment Engineer to join our team, blending cloud architecture with hands-on CI/CD and API development. You will work closely with clients, data scientists, and ML engineers to co-design scalable solutions and own delivery end-to-end.

Ideal candidates have Kubernetes and Python (FastAPI) experience while being comfortable traveling globally to client sites across multiple regions. A collaborative, mentor-supported environment awaits.

Formación

  • Hybrid profile with cloud architecture and hands-on CI/CD ability.
  • Experience building RESTful APIs/microservices in Python (FastAPI preferred).
  • Willingness to travel to client sites globally (avg 3–4 weeks/quarter).

Responsabilidades

  • Collaborate with clients, data scientists, and ML engineers to co-design solutions.
  • Own projects end to end with strong problem-solving skills.
  • Travel to client sites across North America, Europe, Asia, and Oceania (avg 3–4 weeks per quarter).

Conocimientos

Cloud architecture
CI/CD experience
Kubernetes
GitHub Actions
Argo CD
Customer-facing

Herramientas

Python
FastAPI

Descripción del empleo

We are looking for a Deployment Engineer to join our team!

At Qubika, we design, develop, and deploy custom software solutions for organizations making an impact through technology.

What we expect from you:

  • Hybrid profile combining cloud architecture (AWS and/or Azure) with hands-on CI/CD experience: Kubernetes, GitHub Actions, Argo CD
  • Experience building and maintaining RESTful APIs/microservices in Python, ideally with FastAPI
  • Willingness to travel to client sites across North America, Europe, Asia, and Oceania (avg. 3-4 weeks per quarter, sometimes on short notice)
  • Strong customer-facing profile: able to work directly with clients, data scientists, and ML engineers to co-design solutions
  • High ownership and strong end-to-end problem-solving skills; background in Mechanical Engineering is a plus

What we offer:

  • Exciting and innovative projects for disruptive start-ups and world-class companies.
  • A creative working environment with a positive and collaborative atmosphere within an open-minded community.
  • A senior team that offers mentorship opportunities to help you excel in your career.
  • Various benefits include flexible work hours, ongoing skill development, language lessons, travel opportunities, engaging activities, expert talks, and more.
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